SAS Jobs in New York

Search for our latest SAS Jobs based in New York, apply online today here.

Latest Jobs

Salary

US$140000 - US$165000 per annum

Location

Boston, Massachusetts

Description

New role for an Associate Director (Consumer Insights & Analytics) in the Boston area. Must have strong experience in healthcare/bioinformatics space!

Salary

US$120000 - US$140000 per year

Location

New York

Description

Are you passionate about growing businesses through the use of customer data? Can you lead teams on diverse projects?

Salary

US$155000 - US$170000 per year

Location

New York

Description

Do you have a passion for start-ups and have a broad background across marketing and advanced analytics?

Salary

US$60000 - US$70000 per annum

Location

New York

Description

I am looking for expert analysts in SQL & Tableau for building dashboards and manipulating marketing data!

Salary

US$115000 - US$130000 per year

Location

Boston, Massachusetts

Description

Are you passionate about working for a mission driven company and have experience in biotech?

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Five Ways Marketing Analytics Help Businesses Plan For The Future

Small business. Big business. From Amazon to Zoe’s Restaurant, everyone has taken a hit during the pandemic. Some are closed indefinitely while some have been retrofitted to make masks, ventilators, or have even become makeshift labs to find a vaccine or a cure for the coronavirus. But what’s one thing all these businesses have in common? The need for marketing.  We’ve all had emails assuring us our favorite business is doing their part to flatten the curve. Others might explain they’re refocusing or redoubling their efforts to support front line workers, but they’ll return to business when they can, and small enterprises? Every sale is a bonus for them as they struggle to make ends meet and stay in business.  So, what are some ways that Marketing Analytics are helping these businesses both big and small plan for the future? They’re making use of marketing analytics. Shift Strategies. Build Community. It’s a virtual business world, but that doesn’t mean you should stop marketing, or that your customers aren’t still around. By showing you care about your customers whether it’s taking steps to sanitize surfaces or offering high-value content.  By shifting strategies from outbound to inbound, it’s giving your customers a chance to window shop, browse, and consider before buying. Whether they’re having to be cautious about their finances or not, how you present yourself to them, keeps them around for the long haul.  Being there for your customers shows them you appreciate them and care about them. And that you’re not just about the sale. This is the virtual handshake which keeps your customers coming back and gives them something to look forward to in the future.  Show Support. Express Solidarity. This is for both your employees and your customers. When you show support and express solidarity from within your company, it speaks volumes to your customers.  These are trying times for everyone, if you must close your doors, be clear in your communications. Be honest and explain what’s happening, if and when you hope or expect to resume operations, and stay positive.  Niche Market Analysis Determine who your customers are and how they might react in times like these. How they react can determine what you do next and how you do it for your business? As much as you should have an overview of your demographics, it’s also important to take a deeper dive. Knowing this information can help you plan the most effective marketing strategy for the future of your business. This kind of raw Data offers a wealth of information and resources to help you best analyze your information.  Gather Data. Track. Analyze. This can help you get an overview of what’s working, what isn’t, and how you can pivot based on your customer’s needs. This time is an opportunity to assess, reassess, and pivot if needed to determine what works best for you and your customers. From here, you can refine your strategies, get creative in your ideas, test, and track.   Remember, Marketing is a process. Marketing is a long game. Have patience. Be consistent.  While the fruits of your labors may not be immediately felt, customers may feel of a sense of normalcy knowing you’re with them during this pandemic. Everyone’s in the same boat. We’re all in this together. Whether you’re a business on the front lines or have to close your doors for a while, using these strategies help not only your customers have something to look forward to, but you as well. As business processes have continue to shift online, looking for your next job has become more daunting than ever before. But here’s the good news. Leaders, Hiring Managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics professional opportunities, check out our current vacancies or contact one of our expert consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com

Why You Should Always Be Learning In Data Science: Tips From Kevin Tran

Last month we sat down with Kevin Tran, a Senior Data Scientist at Stanford University, to chat about Data Science trends, improvements in the industry, and his top tips for success in the market.  As one of LinkedIn’s Top Voices of 2019 within Data & Analytics. his thoughts on the industry regularly garner hundreds of responses, with debates and discussions bubbling up in the comments from colleagues eager to offer their input.  This online reputation has allowed him to make a name for himself, building out his own little corner of the internet with his expertise. But for Tran, it’s never been about popularity. “It’s not about the numbers,” he says without hesitation. “I don’t care about posting things just to see the number of likes go up.” His goal is always connection, to speak with others and learn from them while teaching from his own background. He’s got plenty of stories from his own experiences. For him, sharing is a powerful way to lead others down a path he himself is still discovering.  When asked about the most important lesson he’s learned in the industry, he says it all boils down to staying open to new ideas.  “You have to continue to learn, and you have to learn how to learn. If you stop learning, you’ll become obsolete pretty soon, particularly in Data Science. These technologies are evolving every day. Syntax changes, model frameworks change, and you have to constantly keep yourself updated.”  He believes that one of the best ways to do that is through open discussion. His process is to share in order to help others. When he has a realisation, he wants to set it in front of others to pass along what he’s learned; he wants to see how others react to the same problem, if they agree or see a different angle. It’s vital to consider what you needed to know at that stage. Additionally, this exchange of ideas allows Tran to learn from how others tackle the same problems, as well as get a glimpse into other challenges he may have not yet encountered.  “When I mentor people, I’m still learning, myself,” Tran confesses. “There’s so much out there to learn, you can’t know it all. Data Science is so broad." At the end of the day, it all comes down to helping each other and bringing humanity back to the forefront. In fact, this was his biggest advice for both how to improve the industry and how to succeed in it. It’s a point he comes back to with some regularity in his writing. “It doesn’t matter how smart you are, stay humble and respect everyone,” one post reads. “Everyone can teach you something you don’t know.” Treating people well, understanding their needs, and consciously working to see them as people instead of numbers or titles—this, Tran argues, is how you succeed in the business. To learn and grow, you must work with people, especially people with different skills and mindsets. Navigating your career is not all technical, even in the world of Data. “The thing that cannot be automated is having a heart,” he tells me sagely. Beyond this, Tran stresses the need for a solid foundation. The one thing you can’t afford to do is take shortcuts. You have to learn the practicalities and how to apply them, but to be strong in theory as well.  Understanding what is happening underneath the code will keep you moving forward. He compares knowing the tools to learning math with a calculator. “If you take the calculator away, you still need to be able to do the work. You need the underlying skills too, so that when you’re in a situation without the calculator, you can still provide solutions.” By constantly striving to collaborate and improve, Tran believes the Data industry has the best chance of innovating successfully.  If you’re looking for a new challenge in an innovative and collaborative environment, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

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